/UWB-NLoS-LoS-Classification-for-KF

Research of UWB NLoS/LoS Classification Using ML

Primary LanguagePython

UWB-NLoS-LoS-Classification-for-KF

Research of NLoS probability calculation model based on UWB CIR using deep learning

[Abstract]
-Classify the environment(LoS/NLoS) by analyzing CIR
-The NLoS probability will be used as a parameter to update the process noise covariance in the KF

[Additional]
-Try CNN+LSTM to improve accuracy

Set all environment as follows:

  1. Reference Journal #1: Accurate Indoor Positioning for UWB-Based Personal Devices Using Deep Learning
  2. Reference Paper #2: UWB NLOS/LOS Classification Using Deep Learning Method

[DataSet]
-Use data set and some function from https://github.com/ewine-project/UWB-LOS-NLOS-Data-Set.git
-Get reference from https://github.com/JSYoon-git/UWB-LOS_NLOS-Classification-using-DL.git